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Description of Statistical Computation

Author's title

Histogram en frequentietabel - werkloosheid australie - Magali van de Wilde...

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 29 May 2009 03:41:09 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/29/t1243590388s1tt3d9s2cmx3zz.htm/, Retrieved Sat, 27 Apr 2024 13:39:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40741, Retrieved Sat, 27 Apr 2024 13:39:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram en freq...] [2009-05-29 09:41:09] [946afef1f31655e4e01d6b8ef4c25a2b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
428800
424800
403400
398400
393500
380500
398300
387300
370400
372800
444600
449900
458100
424800
420600
400100
393000
387100
377500
400400
391400
363600
431000
441700
448500
415600
408000
416600
409300
387600
394500
407600
378500
359600
435700
433800
427700
413300
379500
379300
353700
378200
380600
394000
374000
375000
437600
443900
488800
463900
440000
453800
451600
453400
461400
509100
540600
555100
677400
694600
750100
733900
709300
720500
693200
687200
686800
720900
653100
624700
690000
717800
736500
699900
675600
635600
632500
594900
604000
620800
578400
571200
627400
657700
674100
672800
615300
609100
607600
566900
572700
589200
534800
543100
591100
624800
665300
642600
608700
594500
563800
596100
597600
633100
591000
584200
655800
670700
699700
712900
652000
635100
603100
610100
602000
597600
585400
567100
620600
646200
644800
645200
644800
593000
569100
518800
538700
554600
507900
488400
563300
592400
598100
546300
516100
518500
477400
483400
469400
501300
457400
446700
501900
550400
593700
548900
534200
550500
541800
569300
587400
627700
607000
629500
704600
767700
812200
824600
856300
812200
764100
801700
806000
867200
801600
817500
920900
959700
997700
949100
910900
920400
914200
926300
906400
926100
902500
895300
979900
1009700
1043800
979800
921600
923500
914500
891700
916000
931700
902400
893700
941500
980100
1006900
949200
883200
849900
839200
803900
797900
830800
753300
764100
807600
853700
886200
815700
743000
753600
724800
709600
721900

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40741&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40741&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[350000,4e+05[375000240.1137440.1137442e-06
[4e+05,450000[425000250.1184830.2322272e-06
[450000,5e+05[475000120.0568720.28911e-06
[5e+05,550000[525000150.071090.360191e-06
[550000,6e+05[575000280.1327010.4928913e-06
[6e+05,650000[625000250.1184830.6113742e-06
[650000,7e+05[675000170.0805690.6919432e-06
[7e+05,750000[725000120.0568720.7488151e-06
[750000,8e+05[77500070.0331750.7819911e-06
[8e+05,850000[825000130.0616110.8436021e-06
[850000,9e+05[87500080.0379150.8815171e-06
[9e+05,950000[925000170.0805690.9620852e-06
[950000,1e+06[97500050.0236970.9857820
[1e+06,1050000]102500030.01421810

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[350000,4e+05[ & 375000 & 24 & 0.113744 & 0.113744 & 2e-06 \tabularnewline
[4e+05,450000[ & 425000 & 25 & 0.118483 & 0.232227 & 2e-06 \tabularnewline
[450000,5e+05[ & 475000 & 12 & 0.056872 & 0.2891 & 1e-06 \tabularnewline
[5e+05,550000[ & 525000 & 15 & 0.07109 & 0.36019 & 1e-06 \tabularnewline
[550000,6e+05[ & 575000 & 28 & 0.132701 & 0.492891 & 3e-06 \tabularnewline
[6e+05,650000[ & 625000 & 25 & 0.118483 & 0.611374 & 2e-06 \tabularnewline
[650000,7e+05[ & 675000 & 17 & 0.080569 & 0.691943 & 2e-06 \tabularnewline
[7e+05,750000[ & 725000 & 12 & 0.056872 & 0.748815 & 1e-06 \tabularnewline
[750000,8e+05[ & 775000 & 7 & 0.033175 & 0.781991 & 1e-06 \tabularnewline
[8e+05,850000[ & 825000 & 13 & 0.061611 & 0.843602 & 1e-06 \tabularnewline
[850000,9e+05[ & 875000 & 8 & 0.037915 & 0.881517 & 1e-06 \tabularnewline
[9e+05,950000[ & 925000 & 17 & 0.080569 & 0.962085 & 2e-06 \tabularnewline
[950000,1e+06[ & 975000 & 5 & 0.023697 & 0.985782 & 0 \tabularnewline
[1e+06,1050000] & 1025000 & 3 & 0.014218 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40741&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][350000,4e+05[[/C][C]375000[/C][C]24[/C][C]0.113744[/C][C]0.113744[/C][C]2e-06[/C][/ROW]
[ROW][C][4e+05,450000[[/C][C]425000[/C][C]25[/C][C]0.118483[/C][C]0.232227[/C][C]2e-06[/C][/ROW]
[ROW][C][450000,5e+05[[/C][C]475000[/C][C]12[/C][C]0.056872[/C][C]0.2891[/C][C]1e-06[/C][/ROW]
[ROW][C][5e+05,550000[[/C][C]525000[/C][C]15[/C][C]0.07109[/C][C]0.36019[/C][C]1e-06[/C][/ROW]
[ROW][C][550000,6e+05[[/C][C]575000[/C][C]28[/C][C]0.132701[/C][C]0.492891[/C][C]3e-06[/C][/ROW]
[ROW][C][6e+05,650000[[/C][C]625000[/C][C]25[/C][C]0.118483[/C][C]0.611374[/C][C]2e-06[/C][/ROW]
[ROW][C][650000,7e+05[[/C][C]675000[/C][C]17[/C][C]0.080569[/C][C]0.691943[/C][C]2e-06[/C][/ROW]
[ROW][C][7e+05,750000[[/C][C]725000[/C][C]12[/C][C]0.056872[/C][C]0.748815[/C][C]1e-06[/C][/ROW]
[ROW][C][750000,8e+05[[/C][C]775000[/C][C]7[/C][C]0.033175[/C][C]0.781991[/C][C]1e-06[/C][/ROW]
[ROW][C][8e+05,850000[[/C][C]825000[/C][C]13[/C][C]0.061611[/C][C]0.843602[/C][C]1e-06[/C][/ROW]
[ROW][C][850000,9e+05[[/C][C]875000[/C][C]8[/C][C]0.037915[/C][C]0.881517[/C][C]1e-06[/C][/ROW]
[ROW][C][9e+05,950000[[/C][C]925000[/C][C]17[/C][C]0.080569[/C][C]0.962085[/C][C]2e-06[/C][/ROW]
[ROW][C][950000,1e+06[[/C][C]975000[/C][C]5[/C][C]0.023697[/C][C]0.985782[/C][C]0[/C][/ROW]
[ROW][C][1e+06,1050000][/C][C]1025000[/C][C]3[/C][C]0.014218[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40741&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[350000,4e+05[375000240.1137440.1137442e-06
[4e+05,450000[425000250.1184830.2322272e-06
[450000,5e+05[475000120.0568720.28911e-06
[5e+05,550000[525000150.071090.360191e-06
[550000,6e+05[575000280.1327010.4928913e-06
[6e+05,650000[625000250.1184830.6113742e-06
[650000,7e+05[675000170.0805690.6919432e-06
[7e+05,750000[725000120.0568720.7488151e-06
[750000,8e+05[77500070.0331750.7819911e-06
[8e+05,850000[825000130.0616110.8436021e-06
[850000,9e+05[87500080.0379150.8815171e-06
[9e+05,950000[925000170.0805690.9620852e-06
[950000,1e+06[97500050.0236970.9857820
[1e+06,1050000]102500030.01421810


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')